Minitab — statistical analysis for quality improvement, DOE, control charts and Six Sigma projects.

I improved customer experience at the Indian Market located in Milpitas using Lean Six Sigma techniques. The primary focus of this project was to reduce customer checkout time, managing stockouts and excess of inventory and optimize the store layout. A DMAIC approach was followed for the process improvement. The checkout time was reduced to 18% …

The statistical process control library for Python. Validated against published reference data.

Objective of this project is to identify the in-control data points and eliminate out of control data points to set up distribution parameters for manufacturing process monitoring. I utilized PCA for dimension reduction and Hotelling T2 and m-CUSUM control charts to established mean and variance matrices.

A repository for our working paper titled: "Adapting OpenAI’s CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control"

Free online statistical tools built with Django.

A comprehensive process control charting application for statistical process control (SPC) with Individual and Moving Range (I-MR) charts, distribution analysis, and advanced data management capabilities.

Browser-based Statistical Process Control (SPC) tool with 7 chart types, process capability analysis, and distribution visualization. Vanilla HTML/CSS/JS.

This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software

Open-source SPC platform for manufacturing quality control — real-time control charts, capability analysis, gage R&R, and FAI management

CiviQual Stats — Statistical Process Control for Public-Sector Quality Management

HACCP Temperature Monitoring System (Java) Simulation of critical control point (CCP) temperature monitoring in a dairy process, including critical limits, deviation detection, corrective actions, and control chart visualization.

Quality management case study using inspection data, p-charts, control charts, root-cause analysis, and corrective-action planning to evaluate defect-rate improvement.

Multimodal 2D-CNN for Phase I control chart pattern recognition and AI-enabled quality monitoring

Six Sigma SPC toolkit: X-bar/R charts, Cp/Cpk/Pp/Ppk, Western Electric rules, Pareto — PMI tobacco rod weight context

Statistical process control and process capability analysis of a pretzel manufacturing system using control charts, hypothesis testing, and Six Sigma methods.

Gatekeeper is a personal/internal calculation aid, not a validated quality system. Treat every number it produces as a calculation to be reviewed by a qualified person, not as a substitute for a validated SPC software package (Q-DAS, Minitab, etc.) when a real production release or DTS decision is on the line.